I help you land your next data role by reminding you of your worth and why you're unique.Feeling not good enough? Don't think you are fit to be in the data science industry? Feeling lonely, stressed or even depressed? Wondering why you can't land your next data role? Wondering why no one is taking a chance on you? Considering additional education because you don't think you are qualified yet?If "Yes" to any of the above questions, reach out and let's talk.I understand, I was in the same spot as you not too long ago, looking for any and all help.When you join my mentorship you don’t only get: 1) Creating the Optimal path2) Portfolio and Applying Optimization (Resume, LinkedIn, GitHub, Networking, etc)3) Interview prep and mocks 4) Finding your leverage + contract negotiationBONUS: Building a project to show off to employers...but it's flexible in the way that it is really based on your goals or skills you are wanting to improve.We specialize in systemizing your goals. So you'll have ease of mind by knowing exactly what to do at a given time, using fillable templates without burning out that ACTUALLY get results!GOALS:10-Year Goal: Help 1000s yearly design their dream life.5-Year Goal: Help 10 mentors help 20 data aspirants into the industry2023 Goal: Help 20 Aspiring data aspirants break into the industry while being a digital nomad (14 countries) ✅2022 Goal: Help 10 aspiring data scientists break into the industry. ✅1-Day Goal: To grow, learn and improve each day.EXPERIENCE:I am a data scientist with a software engineering and statistics background who enjoys solving difficult problems with data! I believe that data scientists can no longer be just experts in data and modelling but also software engineers and DevOps. PREVIOUS EXPERIENCEThe majority of my previous experience has been with structured data for time series forecasting on electric vehicles, natural gases or electric & heating demand in the complete data science life cycle, including:- Accessing AI readiness and data quality- Project Scoping and Proposing- Client and Project Managing- ETL- Data Wrangling: Cleaning, Processing, Engineering - Research and Developing (R&D) Various Machine Learning Models- MLOps (DataOps + ModelOps + DevOps) and ML in production- Building End-to-end pipelines to reduce the time from experimentation to productionIf you made it this far then message me if I can help you in any way! 😃Or if you want to know if my mentorship is right for you book here: https://calendly.com/jaret_andre_schedule/intro-mentorship-call